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结合脑电脑接口和多人视频游戏:基于c-VEP的应用程序

Selene Moreno-Calderón1, Víctor Martínez-Cagigal1,2, Eduardo Santamaría-Vázquez1,2

  • 1Biomedical Engineering Group (GIB), E.T.S Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain.

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概括

这项研究开发了一款使用脑-计算机接口 (BCI) 的多人视频游戏,其代码调制的视觉唤起潜能 (c-VEP) 提高了可访问性. 在竞争性"连接4"游戏中,c-VEP BCI系统实现了高精度和用户满意度,展示了卓越的性能.

关键词:
大脑 - 计算机接口代码调制的视觉唤起的潜能.电脑电图 (electroencephalography) 是一种脑电图.多人游戏 多人游戏视频游戏 视频游戏

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科学领域:

  • 神经科学与人与计算机的交互
  • 为运动残疾人提供辅助技术的开发.

背景情况:

  • 视频游戏是一个重要的娱乐媒介,但对于严重运动障碍的人来说,它也带来了可访问性挑战.
  • 大脑-计算机接口 (BCI) 提供了一个潜在的解决方案,通过大脑信号实现控制.
  • 代码调制的视觉唤起潜能 (c-VEPs) 是一种先进的BCI控制信号方法,但它们在视频游戏中的应用仍然未被探索.

研究的目的:

  • 设计,开发和评估由基于c-VEP的BCI控制的多人"Connect 4"视频游戏.
  • 在竞争激烈的游戏环境中评估c-VEPBCI的可行性和性能.
  • 探索竞争力和动机对BCI控制的影响.

主要方法:

  • 一个实时的BCI系统连续处理了两个用户的脑电图 (EEG).
  • 游戏列选择使用了c-VEP范式,使用伪随机二进制代码转移.
  • 用户可用性通过与22名健康用户进行的个人和竞争性游戏会议来评估,测量了准确性,速度,满意度和工作负载.

主要成果:

  • c-VEP BCI的平均精度为93.74%±1.71%,选择时间为5.25秒.
  • 用户调查问卷显示,他们认为工作量最小,满意度高.
  • 该应用程序被描述为直观,快速响应和流.

结论:

  • 开发的基于c-VEP的多人视频游戏展示了有效的性能和高用户参与度.
  • 该系统支持动机和最小的工作量,性能优于"Connect 4"的其他控制信号版本.
  • 这项工作验证了c-VEP作为一种可行的和有效的控制方法,用于可访问的,竞争性的BCI游戏.